EPISODE · Oct 25, 2023 · 54 MIN
AI on Conflict and Early Warning
from PRIO Events
On October 25, PRIO hosted a public seminar to discuss the opportunities and challenges brought about by language-learning models that are used for conflict early-warning systems. The panel reviewed state-of-the-art methods to extract information on political events from large text corpora, such as vast collections of news sources or parliamentary debates, using various artificial intelligence technologies designed to analyze text data.Speakers:Simon Polichinel von der Maase, PRIO Senior ResearcherHaakon Gjerløw, PRIO Senior ResearcherMihai Croicu, Doctoral ResearcherSonja Häffner, Research Associate, Center for Crisis Early Warning, University of the Bundeswehr MunichPRIO Research Professor Håvard Hegre moderated the discussion.For more information about this event, please visit https://www.prio.org/events/9080. Hosted on Acast. See acast.com/privacy for more information.
What this episode covers
On October 25, PRIO hosted a public seminar to discuss the opportunities and challenges brought about by language-learning models that are used for conflict early-warning systems. The panel reviewed state-of-the-art methods to extract information on political events from large text corpora, such as vast collections of news sources or parliamentary debates, using various artificial intelligence technologies designed to analyze text data.Speakers:Simon Polichinel von der Maase, PRIO Senior ResearcherHaakon Gjerløw, PRIO Senior ResearcherMihai Croicu, Doctoral ResearcherSonja Häffner, Research Associate, Center for Crisis Early Warning, University of the Bundeswehr MunichPRIO Research Professor Håvard Hegre moderated the discussion.For more information about this event, please visit https://www.prio.org/events/9080. Hosted on Acast. See acast.com/privacy for more information.
NOW PLAYING
AI on Conflict and Early Warning
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
No similar podcasts found.